#HealthcareAI
Live, measured metrics for the hashtag #HealthcareAI from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #healthcareai
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-11-03 11:46 UTC1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-11-03 11:46 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-11-03 11:46 UTCEverything below is measured over the latest 40 public posts (spanning ~2394 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (40)
Avg boosts / post: 0.2
Top of the latest posts
"Safety and security of large language models in healthcare" reviews LLM risks across clinical AI development and deployment, highlighting safety layers, threats, mitigation and stakeholder responsibilities. #LLM #HealthcareAI https://www.n
📢 Call for Papers: Deep Learning for Next-Generation Bio-Data Mining ⏳ Submission Deadline: 30 November 2026 🔗 Submit your work: https://spj.science.org/journal/csbj/si/deep-learning-bio-data #CallForPapers #DeepLearning #BioDataMining #A
"FedCoRe: Target-Adaptive Completion for Missing Modalities in Healthcare Federated Learning" recovers 49% of the missing-ECG AUROC gap via FedAvg and 52.8% for CXR. #FederatedLearning #HealthcareAI #MultimodalAI https://arxiv.org/pdf/2608.
#healthcareai across platforms
every network with a public tag surfaceFollow #healthcareai straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/healthcareai